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Weixia Zhang
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2020 – today
- 2024
- [j12]Weixia Zhang, Kede Ma, Guangtao Zhai, Xiaokang Yang:
Task-Specific Normalization for Continual Learning of Blind Image Quality Models. IEEE Trans. Image Process. 33: 1898-1910 (2024) - [c11]Marcos V. Conde, Saman Zadtootaghaj, Nabajeet Barman, Radu Timofte, Chenlong He, Qi Zheng, Ruoxi Zhu, Zhengzhong Tu, Haiqiang Wang, Xiangguang Chen, Wenhui Meng, Xiang Pan, Huiying Shi, Han Zhu, Xiaozhong Xu, Lei Sun, Zhenzhong Chen, Shan Liu, Zicheng Zhang, Haoning Wu, Yingjie Zhou, Chunyi Li, Xiaohong Liu, Weisi Lin, Guangtao Zhai, Wei Sun, Yuqin Cao, Yanwei Jiang, Jun Jia, Zhichao Zhang, Zijian Chen, Weixia Zhang, Xiongkuo Min, Steve Göring, Zihao Qi, Chen Feng:
AIS 2024 Challenge on Video Quality Assessment of User-Generated Content: Methods and Results. CVPR Workshops 2024: 5826-5837 - [c10]Chunyi Li, Tengchuan Kou, Yixuan Gao, Yuqin Cao, Wei Sun, Zicheng Zhang, Yingjie Zhou, Zhichao Zhang, Weixia Zhang, Haoning Wu, Xiaohong Liu, Xiongkuo Min, Guangtao Zhai:
AIGIQA-20K: A Large Database for AI-Generated Image Quality Assessment. CVPR Workshops 2024: 6327-6336 - [c9]Nicolas Chahine, Marcos V. Conde, Daniela Carfora, Gabriel Pacianotto, Benoit Pochon, Sira Ferradans, Radu Timofte, Zhichao Duan, Xinrui Xu, Yipo Huang, Quan Yuan, Xiangfei Sheng, Zhichao Yang, Leida Li, Haotian Fan, Fangyuan Kong, Yifang Xu, Wei Sun, Weixia Zhang, Yanwei Jiang, Haoning Wu, Zicheng Zhang, Jun Jia, Yingjie Zhou, Zhongpeng Ji, Xiongkuo Min, Weisi Lin, Guangtao Zhai, Xiaoqi Wang, Junqi Liu, Zixi Guo, Yun Zhang, Zewen Chen, Wen Wang, Juan Wang, Bing Li:
Deep Portrait Quality Assessment. A NTIRE 2024 Challenge Survey. CVPR Workshops 2024: 6732-6744 - [c8]Haoning Wu, Zicheng Zhang, Weixia Zhang, Chaofeng Chen, Liang Liao, Chunyi Li, Yixuan Gao, Annan Wang, Erli Zhang, Wenxiu Sun, Qiong Yan, Xiongkuo Min, Guangtao Zhai, Weisi Lin:
Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels. ICML 2024 - [i17]Weixia Zhang, Dingquan Li, Guangtao Zhai, Xiaokang Yang, Kede Ma:
Comparison of No-Reference Image Quality Models via MAP Estimation in Diffusion Latents. CoRR abs/2403.06406 (2024) - [i16]Weixia Zhang, Chengguang Zhu, Jingnan Gao, Yichao Yan, Guangtao Zhai, Xiaokang Yang:
A Comparative Study of Perceptual Quality Metrics for Audio-driven Talking Head Videos. CoRR abs/2403.06421 (2024) - [i15]Chunyi Li, Tengchuan Kou, Yixuan Gao, Yuqin Cao, Wei Sun, Zicheng Zhang, Yingjie Zhou, Zhichao Zhang, Weixia Zhang, Haoning Wu, Xiaohong Liu, Xiongkuo Min, Guangtao Zhai:
AIGIQA-20K: A Large Database for AI-Generated Image Quality Assessment. CoRR abs/2404.03407 (2024) - [i14]Marcos V. Conde, Saman Zadtootaghaj, Nabajeet Barman, Radu Timofte, Chenlong He, Qi Zheng, Ruoxi Zhu, Zhengzhong Tu, Haiqiang Wang, Xiangguang Chen, Wenhui Meng, Xiang Pan, Huiying Shi, Han Zhu, Xiaozhong Xu, Lei Sun, Zhenzhong Chen, Shan Liu, Zicheng Zhang, Haoning Wu, Yingjie Zhou, Chunyi Li, Xiaohong Liu, Weisi Lin, Guangtao Zhai, Wei Sun, Yuqin Cao, Yanwei Jiang, Jun Jia, Zhichao Zhang, Zijian Chen, Weixia Zhang, Xiongkuo Min, Steve Göring, Zihao Qi, Chen Feng:
AIS 2024 Challenge on Video Quality Assessment of User-Generated Content: Methods and Results. CoRR abs/2404.16205 (2024) - [i13]Wei Sun, Weixia Zhang, Yanwei Jiang, Haoning Wu, Zicheng Zhang, Jun Jia, Yingjie Zhou, Zhongpeng Ji, Xiongkuo Min, Weisi Lin, Guangtao Zhai:
Dual-Branch Network for Portrait Image Quality Assessment. CoRR abs/2405.08555 (2024) - [i12]Wei Sun, Weixia Zhang, Yuqin Cao, Linhan Cao, Jun Jia, Zijian Chen, Zicheng Zhang, Xiongkuo Min, Guangtao Zhai:
Assessing UHD Image Quality from Aesthetics, Distortions, and Saliency. CoRR abs/2409.00749 (2024) - [i11]Ivan Molodetskikh, Artem Borisov, Dmitriy S. Vatolin, Radu Timofte, Jianzhao Liu, Tianwu Zhi, Yabin Zhang, Yang Li, Jingwen Xu, Yiting Liao, Qing Luo, Ao-Xiang Zhang, Peng Zhang, Haibo Lei, Linyan Jiang, Yaqing Li, Yuqin Cao, Wei Sun, Weixia Zhang, Yinan Sun, Ziheng Jia, Yuxin Zhu, Xiongkuo Min, Guangtao Zhai, Weihua Luo, Yupeng Z., Hong Y:
AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results. CoRR abs/2410.04225 (2024) - 2023
- [j11]Weixia Zhang, Dingquan Li, Chao Ma, Guangtao Zhai, Xiaokang Yang, Kede Ma:
Continual Learning for Blind Image Quality Assessment. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2864-2878 (2023) - [c7]Weixia Zhang, Guangtao Zhai, Ying Wei, Xiaokang Yang, Kede Ma:
Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective. CVPR 2023: 14071-14081 - [c6]Xunpeng Yi, Yuxuan Wang, Yizhen Zhao, Jia Yan, Weixia Zhang:
Llieformer: A Low-Light Image Enhancement Transformer Network with a Degraded Restoration Model. ICIP 2023: 1195-1199 - [i10]Weixia Zhang, Guangtao Zhai, Ying Wei, Xiaokang Yang, Kede Ma:
Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective. CoRR abs/2303.14968 (2023) - [i9]Haoning Wu, Zicheng Zhang, Weixia Zhang, Chaofeng Chen, Liang Liao, Chunyi Li, Yixuan Gao, Annan Wang, Erli Zhang, Wenxiu Sun, Qiong Yan, Xiongkuo Min, Guangtao Zhai, Weisi Lin:
Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels. CoRR abs/2312.17090 (2023) - 2022
- [j10]Bowen Li, Weixia Zhang, Meng Tian, Guangtao Zhai, Xianpei Wang:
Blindly Assess Quality of In-the-Wild Videos via Quality-Aware Pre-Training and Motion Perception. IEEE Trans. Circuits Syst. Video Technol. 32(9): 5944-5958 (2022) - [c5]Bowen Li, Weixia Zhang, Meng Tian, Jiu Jiang, Guangtao Zhai, Xianpei Wang:
Learning a Blind Quality Evaluator for UGC Videos in Perceptually Relevant Domains. ICME 2022: 1-6 - [c4]Weixia Zhang, Dingquan Li, Xiongkuo Min, Guangtao Zhai, Guodong Guo, Xiaokang Yang, Kede Ma:
Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop. NeurIPS 2022 - [i8]Weixia Zhang, Dingquan Li, Xiongkuo Min, Guangtao Zhai, Guodong Guo, Xiaokang Yang, Kede Ma:
Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop. CoRR abs/2210.00933 (2022) - 2021
- [j9]Bowen Li, Meng Tian, Weixia Zhang, Hongtai Yao, Xianpei Wang:
Learning to predict the quality of distorted-then-compressed images via a deep neural network. J. Vis. Commun. Image Represent. 76: 103004 (2021) - [j8]Weixia Zhang, Chao Ma, Qi Wu, Xiaokang Yang:
Language-Guided Navigation via Cross-Modal Grounding and Alternate Adversarial Learning. IEEE Trans. Circuits Syst. Video Technol. 31(9): 3469-3481 (2021) - [j7]Weixia Zhang, Kede Ma, Guangtao Zhai, Xiaokang Yang:
Uncertainty-Aware Blind Image Quality Assessment in the Laboratory and Wild. IEEE Trans. Image Process. 30: 3474-3486 (2021) - [i7]Weixia Zhang, Dingquan Li, Chao Ma, Guangtao Zhai, Xiaokang Yang, Kede Ma:
Continual Learning for Blind Image Quality Assessment. CoRR abs/2102.09717 (2021) - [i6]Weixia Zhang, Kede Ma, Guangtao Zhai, Xiaokang Yang:
Task-Specific Normalization for Continual Learning of Blind Image Quality Models. CoRR abs/2107.13429 (2021) - [i5]Bowen Li, Weixia Zhang, Meng Tian, Guangtao Zhai, Xianpei Wang:
Blindly Assess Quality of In-the-Wild Videos via Quality-aware Pre-training and Motion Perception. CoRR abs/2108.08505 (2021) - 2020
- [j6]Bowen Li, Xianpei Wang, Weixia Zhang, Meng Tian, Hongtai Yao:
Dual Head Network for No-Reference Quality Assessment Towards Realistic Night-Time Images. IEEE Access 8: 158585-158599 (2020) - [j5]Weixia Zhang, Kede Ma, Jia Yan, Dexiang Deng, Zhou Wang:
Blind Image Quality Assessment Using a Deep Bilinear Convolutional Neural Network. IEEE Trans. Circuits Syst. Video Technol. 30(1): 36-47 (2020) - [c3]Weixia Zhang, Kede Ma, Guangtao Zhai, Xiaokang Yang:
Learning To Blindly Assess Image Quality In The Laboratory And Wild. ICIP 2020: 111-115 - [i4]Weixia Zhang, Kede Ma, Guangtao Zhai, Xiaokang Yang:
Uncertainty-Aware Blind Image Quality Assessment in the Laboratory and Wild. CoRR abs/2005.13983 (2020) - [i3]Weixia Zhang, Chao Ma, Qi Wu, Xiaokang Yang:
Language-guided Navigation via Cross-Modal Grounding and Alternate Adversarial Learning. CoRR abs/2011.10972 (2020)
2010 – 2019
- 2019
- [j4]Shiyong Hu, Jia Yan, Weixia Zhang, Dexiang Deng:
No-reference quality assessment for contrast-altered images using an end-to-end deep framework. J. Electronic Imaging 28(1): 013041 (2019) - [c2]Weixia Zhang, Guangtao Zhai, Xiaokang Yang, Jia Yan:
Hierarchical Features Fusion for Image Aesthetics Assessment. ICIP 2019: 3771-3775 - [i2]Weixia Zhang, Kede Ma, Xiaokang Yang:
Learning to Blindly Assess Image Quality in the Laboratory and Wild. CoRR abs/1907.00516 (2019) - [i1]Weixia Zhang, Kede Ma, Jia Yan, Dexiang Deng, Zhou Wang:
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network. CoRR abs/1907.02665 (2019) - 2018
- [j3]Yang Ma, Weixia Zhang, Jia Yan, Cien Fan, Wenxuan Shi:
Blind image quality assessment in multiple bandpass and redundancy domains. Digit. Signal Process. 80: 37-47 (2018) - 2017
- [j2]Weixia Zhang, Jia Yan, Wenxuan Shi, Tianpeng Feng, Dexiang Deng:
Refining deep convolutional features for improving fine-grained image recognition. EURASIP J. Image Video Process. 2017: 27 (2017) - [j1]Weixia Zhang, Jia Yan, Wenxuan Shi, Tianpeng Feng, Dexiang Deng:
Erratum to: Refining deep convolutional features for improving fine-grained image recognition. EURASIP J. Image Video Process. 2017: 33 (2017) - 2016
- [c1]Jia Yan, Weixia Zhang, Tianpeng Feng:
Blind Image Quality Assessment Based on Natural Redundancy Statistics. ACCV (4) 2016: 3-18
Coauthor Index
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last updated on 2024-12-15 01:24 CET by the dblp team
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